Senior/Principal Computational Biologist
What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.
What this position is all about : Are you a highly motivated and detail-oriented computational biologist passionate about understanding complex biological systems and disease through single-cell omics and large-scale patient datasets ? This role offers a unique opportunity to contribute to the development and application of Cellarity's platform. Specifically, you will identify disease-associated states from cell atlases and use our single-cell AI models to predict chemical entities that revert these states to healthy. You will be part of a dynamic and innovative computational team focused on generating high-impact insights. Collaborating closely with world-class computational biologists, machine learning scientists, experimental biologists, chemists, clinicians , and technologists , you'll help co-develop hypotheses, build proprietary data assets, and advance exploratory drug programs. If you're excited about applying your skills to real-world therapeutic challenges, working with proprietary, high-quality datasets, and learning from leading experts across disciplines, we want to hear from you. What you would be responsible for:- Apply computational biology and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with a focus on large-scale scRNA-seq & snRNA-seq disease atlases.
- Develop & lead data analysis strategies and ideation across diverse biological and clinically relevant projects with internal and external stakeholders.
- Act as the computational biology co-lead on drug programs, working with experimental scientists to ensure that study designs & data are properly interrogated to deliver high value readouts.
- Present your results in an interdisciplinary team of biologists, chemists, clinicians, technologists, and other machine learning colleagues in meetings covering cross-functional project teams, functional teams, to whole company and management meetings.
What experiences will you need:
- Ph.D. or equivalent in biology, computational biology, or related scientific field.
- 4+ years of relevant industry experience.
- Extensive experience in analyzing and deriving hypothesis from single-cell transcriptomic data, preferably also with large-scale single-cell atlases.
- Demonstrated scientific understanding of molecular and systems biology, diverse molecular data types, and analysis tools.
- Practical programming and scripting skills, preferably in Python.
- Fast learner, analytical thinker, creative, "hands-on", strong communication skills.
- Able to work both independently and as part of a team.
- Background in metabolic or liver diseases, autoimmune disease, or hematology.
- Experience with generating, analyzing, and deriving hypotheses from other single-cell omics data types or large-scale clinical datasets.
- Experience driving an impactful and relevant project within industry.
- Background in statistics or machine learning.
- Experience with clinical or biological data.
- Interested in learning any of the above.
What it's like to work at Cellarity
- Push Boundaries: We create a legacy with breakthrough science in service of patients.
- Inject Energy: We build strengths from different perspectives and tell it like it is
- Own it: We transcend our s and relentlessly follow through on our commitments.
- Go all out: We work quickly and with conviction.
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